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\section{gaussian longitudinal}

report: explain model, covariates, individuals over 20\%

due 10 oct

\section{point processes}


estimate intensity with kernel smoothing


model with covariates


inhom k function

due 31 oct

\section{geostatistics}

rainfall prediction, areas of high rainfall

binomial data, high malaria risk

due 21 nov

\section{non-gaussian models}

disease mapping
questions: is there spatial dependence?
where is risk highest?
effect of covariates?

heirarchical models

breast cancer or 

due 18 dec 

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